Wenli Du

Orcid: 0000-0002-2676-6341

According to our database1, Wenli Du authored at least 164 papers between 2005 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
A novel synchronous spatio-temporal relationship network for geographical-related time-spatial series forecasting.
Inf. Sci., 2025

TFT-MPIR: An end-to-end multi-period inventory replenishment strategy based on temporal fusion transformer.
Expert Syst. Appl., 2025

2024
Phase Shifting Transformer-Based Mitigation Strategy for Load Redistribution Attacks in Power System Optimal Power Flow.
IEEE Trans. Smart Grid, September, 2024

Finite-Time Consensus Control for MASs Under Hidden Markov Model Mechanism.
IEEE Trans. Autom. Control., July, 2024

Distributed Asynchronous Optimization of Multiagent Systems: Convergence Analysis and Its Application.
IEEE Trans. Ind. Informatics, June, 2024

A Novel Adaptive Robust NIR Modeling Method Based on Sparse Bayesian Learning.
IEEE Trans. Ind. Informatics, June, 2024

Distributed Gradient Tracking for Differentially Private Multi-Agent Optimization With a Dynamic Event-Triggered Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024

Accelerated Distributed Nesterov Optimization Subject to Complex Constraints and Its Applications.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Accelerated PALM for Nonconvex Low-Rank Matrix Recovery With Theoretical Analysis.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Parameter-Estimate-First False Data Injection Attacks in AC State Estimation Deployed With Moving Target Defense.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Joint Meter Coding and Moving Target Defense for Detecting Stealthy False Data Injection Attacks in Power System State Estimation.
IEEE Trans. Ind. Informatics, March, 2024

Online Data-Stream-Driven Distributionally Robust Optimal Energy Management for Hydrogen-Based Multimicrogrids.
IEEE Trans. Ind. Informatics, March, 2024

Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Optimal cyclic scheduling of ethylene plants in backup furnace mode with separation capacity constraints.
Comput. Chem. Eng., February, 2024

A robust H∞ fault-tolerant control approach for time-delay LPV systems with uncertain parameters and unknown disturbances.
Eur. J. Control, 2024

A truncated Gaussian distribution based multi-scale segment-wise fusion transformer model for multi-step commodity price forecasting.
Eng. Appl. Artif. Intell., 2024

A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids with Coupled Electricity-Hydrogen-Ammonia under Uncertainties.
CoRR, 2024

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.
CoRR, 2024

A novel multi-operation sequencing formulation for the crude oil scheduling problem with restricted overlapping constraints.
Comput. Chem. Eng., 2024

Differential privacy distributed optimization algorithm against adversarial attacks for efficiency optimization of complex industrial processes.
Adv. Eng. Informatics, 2024

An interpretable data-driven approach for process flowsheet convergence troubleshooting.
Adv. Eng. Informatics, 2024

ZSEE: A Dataset based on Zeolite Synthesis Event Extraction for Automated Synthesis Platform.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Differentiable Distributionally Robust Optimization Layers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Multilabel Convolutional Network With Feature Denoising and Details Supplement.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Data-Driven Tabulation for Chemistry Integration Using Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Sliding mode-based finite-time consensus tracking control for multi-agent systems under actuator attacks.
Inf. Sci., September, 2023

Drug-target interactions prediction based on network topology feature representation embedded deep forest.
Neurocomputing, September, 2023

Robust semi-supervised multi-view graph learning with sharable and individual structure.
Pattern Recognit., August, 2023

Multiple Kernel Subspace Learning for Clustering and Classification.
IEEE Trans. Knowl. Data Eng., July, 2023

Federated probability memory recall for federated continual learning.
Inf. Sci., June, 2023

Multi-view dimensionality reduction learning with hierarchical sparse feature selection.
Appl. Intell., May, 2023

Distributed Optimization Subject to Inseparable Coupled Constraints: A Case Study on Plant-Wide Ethylene Process.
IEEE Trans. Ind. Informatics, April, 2023

Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis.
IEEE Trans. Cybern., April, 2023

Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties.
Comput. Chem. Eng., March, 2023

Efficient rolling horizon approach to a crude oil scheduling problem for marine-access refineries.
Comput. Chem. Eng., February, 2023

Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations.
IEEE Trans. Multim., 2023

A Novel Interpretable Ensemble Learning Method for NIR-Based Rapid Characterization of Petroleum Products.
IEEE Trans. Instrum. Meas., 2023

Pattern-Coupled Baseline Correction Method for Near-Infrared Spectroscopy Multivariate Modeling.
IEEE Trans. Instrum. Meas., 2023

Contour-Context Joint Blind Image Inpainting Network for Molecular Sieve Particle Size Measurement of SEM Images.
IEEE Trans. Instrum. Meas., 2023

False-Data-Injection-Enabled Network Parameter Modifications in Power Systems: Attack and Detection.
IEEE Trans. Ind. Informatics, 2023

RLPGB-Net: Reinforcement Learning of Feature Fusion and Global Context Boundary Attention for Infrared Dim Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning-Based Adaptive Optimal Control for Flotation Processes Subject to Input Constraints.
IEEE Trans. Control. Syst. Technol., 2023

Accelerated Dual Averaging Methods for Decentralized Constrained Optimization.
IEEE Trans. Autom. Control., 2023

Distributed discrete-time optimization over directed networks: A dynamic event-triggered algorithm.
Inf. Sci., 2023

ProtoGAN: Towards high diversity and fidelity image synthesis under limited data.
Inf. Sci., 2023

Complementary features based prototype self-updating for few-shot learning.
Expert Syst. Appl., 2023

DFSGAN: Introducing editable and representative attributes for few-shot image generation.
Eng. Appl. Artif. Intell., 2023

Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels.
CoRR, 2023

Corrigendum to 'Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties' [Computers and Chemical Engineering 171 (2023) 108156].
Comput. Chem. Eng., 2023

Load Redistribution Attack in Optimal Power Flow with Phase Shifting Transformers.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

EMT-NAS: Transferring architectural knowledge between tasks from different datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Optimal Iterative Learning Control for Batch Processes in the Presence of Time-Varying Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Optimal Coding Schemes for Detecting False Data Injection Attacks in Power System State Estimation.
IEEE Trans. Smart Grid, 2022

Ternary Compression for Communication-Efficient Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Explicit Metric-Based Multiconcept Multi-Instance Learning With Triplet and Superbag.
IEEE Trans. Neural Networks Learn. Syst., 2022

Erratum to "Merged-Sampling Mask R-CNN With Random Proposal Expansion for Particle Measurement of SEM Images of Molecular Sieve Catalysts".
IEEE Trans. Instrum. Meas., 2022

Online Detection of Model-Plant Mismatch in Closed-Loop Systems With Gaussian Processes.
IEEE Trans. Ind. Informatics, 2022

Secure Control of Multiagent Systems Against Malicious Attacks: A Brief Survey.
IEEE Trans. Ind. Informatics, 2022

A Survey on Knee-Oriented Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2022

Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data.
IEEE Trans. Cybern., 2022

Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems.
IEEE Trans. Cybern., 2022

Semantic Supplementary Network With Prior Information for Multi-Label Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning to Capture the Query Distribution for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Distributed Voltage Regulation for Low-Voltage and High-PV-Penetration Networks With Battery Energy Storage Systems Subject to Communication Delay.
IEEE Trans. Control. Syst. Technol., 2022

Dynamic Event-Triggered SMC of Multi-Agent Systems for Consensus Tracking.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

A surrogate-assisted evolutionary algorithm for expensive many-objective optimization in the refining process.
Swarm Evol. Comput., 2022

Geometric imbalanced deep learning with feature scaling and boundary sample mining.
Pattern Recognit., 2022

Gravitation balanced multiple kernel learning for imbalanced classification.
Neural Comput. Appl., 2022

Thematic issue on knowledge and data driven evolutionary multi-objective optimization.
Memetic Comput., 2022

A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization.
Inf. Sci., 2022

Investigation of NOx emission under different burner structures with the optimized combustion model.
Neurocomputing, 2022

Integrated multi-similarity fusion and heterogeneous graph inference for drug-target interaction prediction.
Neurocomputing, 2022

Semi-supervised multiple empirical kernel learning with pseudo empirical loss and similarity regularization.
Int. J. Intell. Syst., 2022

Pseudolabel-guided multiview consensus graph learning for semisupervised classification.
Int. J. Intell. Syst., 2022

Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation.
IEEE Intell. Syst., 2022

Multi-attention mutual information distributed framework for few-shot learning.
Expert Syst. Appl., 2022

Monitoring and path optimization of catalytic reformer in a refinery: Principal component analysis and A* algorithm application.
Expert Syst. Appl., 2022

Towards Fairness-Aware Multi-Objective Optimization.
CoRR, 2022

Global sensitivity analysis for a perfusion bioreactor based on CFD modelling.
Comput. Chem. Eng., 2022

A bilevel data-driven framework for robust optimization under uncertainty - applied to fluid catalytic cracking unit.
Comput. Chem. Eng., 2022

Event-triggered attitude synchronization of multiple rigid body systems with velocity-free measurements.
Autom., 2022

Client selection based weighted federated few-shot learning.
Appl. Soft Comput., 2022

Deep CNN-based local dimming technology.
Appl. Intell., 2022

Large-scale crude oil scheduling: A framework of hybrid optimization based on plan decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Optimization and Control of a Perfusion Bioreactor System in Tissue Engineering.
Proceedings of the IEEE International Conference on Automation, 2022

2021
Intelligent Time-Scale Operator-Splitting Integration for Chemical Reaction Systems.
IEEE Trans. Neural Networks Learn. Syst., 2021

FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition.
IEEE J. Biomed. Health Informatics, 2021

A Novel Integrated Approach to Characterization of Petroleum Naphtha Properties From Near-Infrared Spectroscopy.
IEEE Trans. Instrum. Meas., 2021

Merged-Sampling Mask R-CNN With Random Proposal Expansion for Particle Measurement of SEM Images of Molecular Sieve Catalysts.
IEEE Trans. Instrum. Meas., 2021

A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications.
IEEE Trans. Ind. Informatics, 2021

EEG Emotion Recognition Based on 3-D Feature Representation and Dilated Fully Convolutional Networks.
IEEE Trans. Cogn. Dev. Syst., 2021

OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video.
IEEE Trans. Cogn. Dev. Syst., 2021

BLSTM and CNN Stacking Architecture for Speech Emotion Recognition.
Neural Process. Lett., 2021

A federated data-driven evolutionary algorithm.
Knowl. Based Syst., 2021

Entropy-based hybrid sampling ensemble learning for imbalanced data.
Int. J. Intell. Syst., 2021

Optical-flow-based framework to boost video object detection performance with object enhancement.
Expert Syst. Appl., 2021

Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter.
Eng. Appl. Artif. Intell., 2021

A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization.
CoRR, 2021

Federated learning based atmospheric source term estimation in urban environments.
Comput. Chem. Eng., 2021

Steady-state target calculation integrating economic optimization for constrained model predictive control.
Comput. Chem. Eng., 2021

Refinery production planning optimization under crude oil quality uncertainty.
Comput. Chem. Eng., 2021

Bee-foraging learning particle swarm optimization.
Appl. Soft Comput., 2021

Drug-Target Interaction Prediction Based on Multi-Similarity Fusion and Sparse Dual-Graph Regularized Matrix Factorization.
IEEE Access, 2021

Global Sensitivity Analysis for the input parameters of a Perfusion Bioreactor System in Tissue Engineering.
Proceedings of the 25th International Conference on System Theory, Control and Computing, 2021

Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy.
IEEE Trans. Neural Networks Learn. Syst., 2020

Near-Infrared Wavelength-Selection Method Based on Joint Mutual Information and Weighted Bootstrap Sampling.
IEEE Trans. Ind. Informatics, 2020

Geometric Structural Ensemble Learning for Imbalanced Problems.
IEEE Trans. Cybern., 2020

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.
Neural Networks, 2020

Efficient matrixized classification learning with separated solution process.
Neural Comput. Appl., 2020

Multi-matrices entropy discriminant ensemble learning for imbalanced problem.
Neural Comput. Appl., 2020

NearCount: Selecting critical instances based on the cited counts of nearest neighbors.
Knowl. Based Syst., 2020

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem.
Knowl. Based Syst., 2020

Fireworks explosion based artificial bee colony for numerical optimization.
Knowl. Based Syst., 2020

Multiple Universum Empirical Kernel Learning.
Eng. Appl. Artif. Intell., 2020

Data-driven robust optimization for crude oil blending under uncertainty.
Comput. Chem. Eng., 2020

An Interval Type-2 Fuzzy Controller Based on Data-Driven Parameters Extraction for Cement Calciner Process.
IEEE Access, 2020

Autonomous Control Strategy for Microgrid Operating Modes Smooth Transition.
IEEE Access, 2020

A Fast Multi-Objective Particle Swarm Optimization Algorithm Based on a New Archive Updating Mechanism.
IEEE Access, 2020

Factored Trace Lasso Based Linear Regression Methods: Optimizations and Applications.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019
Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid.
IEEE Trans. Syst. Man Cybern. Syst., 2019

High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach.
IEEE Trans. Ind. Informatics, 2019

Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Multi-objective differential evolution with dynamic hybrid constraint handling mechanism.
Soft Comput., 2019

自动驾驶场景中增强深度学习的时空特征提取方法 (Spatio-temporal Features Extraction of Traffic Based on Deep Neural Network).
计算机科学, 2019

Tree-based space partition and merging ensemble learning framework for imbalanced problems.
Inf. Sci., 2019

An adaptive decomposition-based evolutionary algorithm for many-objective optimization.
Inf. Sci., 2019

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems.
Appl. Soft Comput., 2019

Multi-view learning with fisher kernel and bi-bagging for imbalanced problem.
Appl. Intell., 2019

Integration of Regional Demand Management and Signals Control for Urban Traffic Networks.
IEEE Access, 2019

Just-in-time learning for cement free lime prediction with empirical mode decomposition and database monitoring index.
Proceedings of the 12th Asian Control Conference, 2019

Data-Driven Dynamic Modeling of the Acetylene Hydrogenation Process based on Nonlinear Slow Feature Analysis.
Proceedings of the 12th Asian Control Conference, 2019

2018
A Just-in-Time Learning Based Monitoring and Classification Method for Hyper/Hypocalcemia Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Genetic mechanism-enhanced standard particle swarm optimization 2011.
Soft Comput., 2018

Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering.
J. Appl. Math., 2018

Detecting the correlation between mobile learning behavior and personal characteristics among elementary school students.
Interact. Learn. Environ., 2018

An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems.
Complex., 2018

A Two-Level Optimization Framework for Cyclic Scheduling of Ethylene Cracking Furnace System.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Multiagent Systems on Multilayer Networks: Synchronization Analysis and Network Design.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method.
IEEE Trans. Ind. Electron., 2017

Biogeography-based learning particle swarm optimization.
Soft Comput., 2017

An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Three L-SHADE based algorithms on mixed-variables optimization problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Biogeography-based optimization with covariance matrix based migration.
Appl. Soft Comput., 2016

2014
Monitoring for Nonlinear Multiple Modes Process Based on LL-SVDD-MRDA.
IEEE Trans Autom. Sci. Eng., 2014

Dynamic Optimization of Industrial Processes With Nonuniform Discretization-Based Control Vector Parameterization.
IEEE Trans Autom. Sci. Eng., 2014

2013
Synchronization analysis of heterogeneous dynamical networks.
Neurocomputing, 2013

Process monitoring with global probability boundary-based on Gaussian mixture model.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2011
A hybrid method for identifying T-S fuzzy models.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
A hybrid genetic algorithm with the Baldwin effect.
Inf. Sci., 2010

2009
Identification and control of nonlinear systems by a time-delay recurrent neural network.
Neurocomputing, 2009

2007
An Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A Dissimilation Particle Swarm Optimization-Based Elman Network and Applications for Identifying and Controlling Ultrasonic Motors.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Speed Identification of Ultrasonic Motors Based on Evolutionary Elman Network.
Proceedings of the Third International Conference on Natural Computation, 2007

A Novel Time-Delay Recurrent Neural Network and Application for Identifying and Controlling Nonlinear Systems.
Proceedings of the Third International Conference on Natural Computation, 2007

A Hybrid Algorithm Based on Particle Swarm Optimization and Simulated Annealing for Job Shop Scheduling.
Proceedings of the Third International Conference on Natural Computation, 2007

2005
Optimization of PTA Crystallization Process Based on Fuzzy GMDH Networks and Differential Evolutionary Algorithm.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


  Loading...